درخت حوزه‌های تخصصی

The stock market is one of the main components of the economy, and various factors cause fluctuations in it, one of which is the effect of investors' behavior. Therefore, present study seeks to answer the question of whether the feelings and sentiments of investors might intensify the fluctuations in the Tehran Stock Exchange or not. To answer this question, at first, in order to quantify sentiments, as non-abstract variables, the Equity Market Sentiment Index (EMSI) was used that investors are classified in 5 categories of completely risk-averse, risk-averse, neutral-risk, risk-taking and completely risk-taking. Using GARCHi-in-Mean, results indicate that the sentiments of investors will result in greater fluctuations in the Tehran Stock Exchange. Hence, if fluctuation is considered an indicator of market risk, the excitement associated with an abnormal rise in volumes will increase that risk.

This study examines the political and economic factors influencing the decision of investors in the stock exchange. For this purpose, first, by using the Meta Synthesis method, the factors affecting investment decisions were extracted from previous researches and then, using Delphi technique, the identified features were evaluated and approved by experts. Then, using DEMATEL method, the relationships between the factors were analyzed, and finally, the sequence and rank of each factor were determined based on the Interpretive Structural Modeling method. Based on the results obtained from the DEMATEL method, "Foreign political news and revolutionaries" and "International economic revolutionaries" are the most influential factor on other factors and "Predicting the country's economic situation in the future" is the most influential factor among other factors. Also, the results of the Interpretive Structural model approach show that Political factors such as the "Comments of political officials", "Iran's political relations with other countries" and "Internal Security and Stability" have the greatest impact on investment decisions.

The purpose of the study is to design a new behavioral model of blockchain technology acceptance in public banks through content analysis. Therefore, based on the theoretical literature and behavioral theories of technology acceptance, the primary conceptual model was presented. Then, by interviewing experts selected by snowball method, the relevant model was finalized. Theoretical validity and interpretive validity methods were used to measure the validity of interviews. To check the reliability of interviews, the test-retest reliability method has been used. The validity of the factors was checked through the Delphi technique and with fuzzy calculations. According to the results, four main factors of the behavioral model are: people, environment, organization, and technology. Totally 10 sub-factors and 36 indicators were identified. This model can contribute to public banks to understand how these various factors interact with each other and how they can be improved to achieve higher acceptance of blockchain technology.

Nowadays, researchers and managers believe that paying attention to employees' thoughts facilitates sustainable competitive advantage in organizations. After the introduction of cognitive science into organizations, the identification of what it is, how it is formed, and the formulation of Counterfactual Thoughts (CTs) have been investigated and analyzed in the field of Human Resources (HR). In this study, a systematic review of the literature in the field of CT has been done with the aim of identifying the antecedents and key consequences of this field and analyzing them. In this research, a two-stage methodology has been considered including (i) Extraction of antecedents and consequences, (ii) Weighting of antecedents. In the first stage, using the screening of articles based on the seven-step method of Sandelowski and Barroso, the antecedents and consequences of CTs, synthesis and interpretation have also been implemented through the coding method of qualitative interpretive meta-analysis. In the second stage, the consequences extracted in the field of counterfactuals are weighted using the matrix of paired comparisons based on the opinions of experts in the field of HR and AHP, which can be used to evaluate employees' thoughts and behavior. Based on the screening of the articles, the antecedents are categorized into 4 general concepts with 12 codes, and the consequences are classified into 2 and 8 codes. The results of the AHP analysis show that the normalization of the condition related to the behavioral outcome has the greatest impact on the evaluation of employees' thoughts and behavior, while the regulation of related emotions as a result of attitude has the least impact among the codes introduced in this evaluation.

Communication plays a critical role in any sustainable plan or strategy. This meta-analysis was conducted to provide an overall perspective of the relationship between communication and organizational performance. A total of 999 articles in both English and Farsi were extracted from four databases. The random effects model was used to analyze the data. The analysis was done by CMA2 ) V2.2. 064 (. The results based on the random effects model illustrated that the degree of the relationship between communication and organizational performance is large, positive, and significant (R=0.745, CI=0.95 p=0.000%). Furthermore, "Research object", "publication year" and "country" were identified as moderator variables in this relationship. An important jump in the intensity of this relationship was detected from 2017. Moreover, a significant difference in the intensity of this relationship was observed in educational organizations with commercial and medical organizations, which can be useful for activists in these fields. The intensity of the relationship in the countries of China, Malaysia, USA, South Korea, and Iran have been evaluated as significantly different. Therefore, these results can open new horizons for future research and especially the localization of international research results.

In this research, the influencing factors on the behavior of human resources in the marketing department and human resource management policies and their relationship with the strategies of this department have been examined in order to identify the factors that are related to the superior performance of this department. This research was carried out in the framework of a qualitative approach and using grounded theory. The data collection tool was semi-structured interviews, which were conducted using a combination of purposive (judgmental and quota) and theoretical sampling. The theoretical saturation criterion was used to determine the sample size and 36 interviews was conducted in 14 manufacturing companies in order to finally achieve theoretical adequacy along with document content analysis. Atlas. ti software was used to analyze the data obtained from the interviews and coding. Data analysis was done in three stages open coding, axial coding, and selective coding, and based on that, a qualitative research model was presented. The results of the research led to the extraction of 669 open codes, 160 concepts and 40 categories in the form of a paradigm model include the central category (strategic management of human resources in marketing, culture, improvement and correction, coherent and aligned systems), causal conditions (control of destructive effects) , strategic human resources and competition in the market, job type, priority dimensions, value addition and customer retention), strategies (job satisfaction, commitment, trust, perceived organizational support, motivation, justice, reward, employee participation, loyalty, empowerment, empowerment, green insight into human resources and marketing), the prevailing context (demographic characteristics, psychological characteristics, organizational structure, strategy, organizational culture and supply, technology in use) and finally outcomes (superior performance, organizational citizenship behavior, key work behaviors and production axis, the effects of human resource strategies, environmental thinking and green performance) were presented.

Partnership quality has been known as one of the foremost critical determinants of outsourcing victory. Since the relationship is dynamic, it is important to understand both sides of the partner. The purpose of this study is design a model for the partnership quality in outsourcing services with focus on both sides. In order to achieve this goal, mixed method (qualitative-quantitative) and grounded theory approach have been used. In the qualitative section, in order to identify the categories of the contextual model of partnership quality, a semistructured interview has been used in the service provider and client section by theoretical sampling method. The statistical population in the qualitative section included all managers and heads and expert contractors in 90 contracts during the 3 years. The total number of statistical population in the qualitative section was 176 people. In the qualitative section, grounded theory and MAXQDA software are used for analysis. Then, through the coding process in three sections, open, central and selective data of qualitative section were organized. In the quantitative research section, the statistical population included district heads, deputies, officials, supervisors on the one hand, and all their contractors and representatives on the other. The total number of statistical population in the quantitative section was 623 people. In the quantitative research section, in order to test the obtained pattern, the required data were collected by a designed questionnaire. To analyses the data collected, the partial least squares (PLS) method was used. According to the results of this research, the most important operational strategies are, empowerment, standardization and technology improvement to achieve the partnership quality in outsourcing services.